Stannis的博客

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltdf = pd.read_csv('log.txt',sep='\t',header=None)df.head() 0 1 2 3 4 5 6 7 8 0 201

Pandas实用小功能import pandas as pdimport numpy as np1、读取时抽样百分比data = pd.read_csv(r'..\test.csv',encoding='utf-8', skiprows = lambda x: x>0 and np.random.rand() > 0.5)data.head() PassengerId Pclass

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltx_data = np.array([[118,20],[20,56],[99,78],[56,34],[90,10],[88,45]])x_dataarray([[118, 20], [ 20, 56], [ 99, 78], [ 56, 34], [ 90, 10], [ 88

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as snsdf = pd.read_csv('E:/python/Python数据分析与挖掘从零开始到实战/数据分析篇/学习笔记/数据/air_data.csv')df.head() MEMBER_NO FFP_DATE FIRST_FLIGHT_DATE

import numpy as npimport pandas as pdimport matplotlib.pyplot as plt# 解决中⽂显示问题plt.rcParams['font.sans-serif'] = [u'SimHei']plt.rcParams['axes.unicode_minus'] = False# 等差数列x = np.linspace(0,10,100)y1 = np.sin(x)y2 = np.cos(x)plt.plot(x,y,ls=,l

import numpy as np一、创建数组data = np.array([1,2,3,4,5,6])dataarray([1, 2, 3, 4, 5, 6])type(data)numpy.ndarraydata = np.array([[1,2,3],[4,5,6],[7,8,9]])dataarray([[1, 2, 3], [4, 5, 6], [7, 8, 9]])data = np.arange(0,20,2)data

numpy常见操作汇总本质是多维数组import numpy as np# numpy版本np.__version__'1.21.2'python listlist1 = list(range(10))list1[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]list1[5]='hello list'list1[0, 1, 2, 3, 4, 'hello list', 6, 7, 8, 9]arrayimport arrayarr1 = arra

本周课程主要讲解Python语言基础、编程技巧，帮助学员实现编程思维从无到有。